Outcomes

Innovation With Impact

Identify problems in medical informatics with high potential for impact and utility

Problem Solving Skills

Formulate problems, critically evaluate them and research & build methods to solve them

Knowledge-based Scholarship

Comprehend, recall and apply concepts in computing, health, mathematics and medical informatics

Interdisciplinary Collaboration and Experiential Learning

Participate in teams with other professionals developing and adapting computer science solutions to health problems

Professional and Leadership Skills

Develop skills in ethics, communications, presentation, publishing, media, networking, leadership and team management

EDI Awareness and Promotion

Train with experts in race and informatics, inclusive workplaces, anti-racism, mental health, gender diversity, unconscious bias and intercultural awareness

News

Welcome to Our Newest Cohort in the CREATE Training Program in Medical Informatics

Welcome to Our Newest Cohort in the CREATE Training Program in Medical Informatics

On October 9, we welcomed the latest cohort of trainees to the Med-i CREATE program. Both new and current students participated in a mandatory session hosted by the Experiential Learning Hub at Queen’s University, which was followed by an orientation and welcome address from Principal Investigator Dr. Parvin Mousavi. Students from Western University joined both sessions remotely.
Med-i CREATE Master’s Students Successfully Complete Their Degrees

Med-i CREATE Master’s Students Successfully Complete Their Degrees

Congratulations to Med-i CREATE Master’s students Tyler Elliott, Maha Kesibi, E Ching Kho, Bining Long, and Sarah Nassar on successfully completing their degrees.
Emma Willis and Vivian Nguyen Awarded Canada Graduate Scholarships-Master’s for 2025-2026

Emma Willis and Vivian Nguyen Awarded Canada Graduate Scholarships-Master’s for 2025-2026

Emma Willis and Vivian Nguyen, both students in the Med-i CREATE program, have been awarded the prestigious Canada Graduate Scholarships-Master’s (CGS M) for the 2025-2026 academic year.
Colton Barr Wins Runner-Up Poster Award at Prestigious Hamlyn Symposium’s “Healing Through Collaboration” Workshop

Colton Barr Wins Runner-Up Poster Award at Prestigious Hamlyn Symposium’s “Healing Through Collaboration” Workshop

Congratulations to Colton Barr for earning the Runner-Up Poster Award at the “Healing Through Collaboration” workshop during the Hamlyn Symposium on Medical Robotics in London, UK—one of the world's leading events in medical robotics research and innovation.

Director

Parvin Mousavi

Prof. Comp/ECE/Pathology, member of the Royal Soc of Canada, College of New Scholars

As the world’s population grows to 10B by 2050, technology-enabled innovation is the critical to ensuring well-being for all. While AI and informatics show great promise in rapid analysis of next-generation large scale data, future workers will require highly specialized training fit to the unique nature of health data. We aim to solidify Canada’s competitive advantage in the global space through concerted efforts to train computer scientists with specialized multi-disciplinary experience in medical informatics and digital health, and engage diverse groups and lived experiences in our training.

Projects

Integration, federation, and retrieval of large-scale data repositories in Canada

We collaborate with the Canadian Institute of Health Information (CIHI) and the Ontario Health Data Platform (OHDP) to tackle novel challenges in data management and devise evaluation frameworks that center on security, performance and fairness.

Next generation of actionable prescriptive analysis using multi-resolution, multi-modality data

We build computation models of disease from multi-omics data using machine learning, deep learning and evolutionary algorithms, focusing on innovations that address the unique nature of health data and the unavailability and vagueness of gold-standard labels (e.g., pathology labels).

Democratization of AI, software and data for healthcare

We're international leaders in developing and disseminating open source software using low-cost point-of-care imaging. Our positive impact on the global computer–assisted medical interventions community has is constantly expanding. We'll meet new challenges for discovery, refinement of methods and innovative AI-powered solutions using large open source data, hence democratizing access to care and positive outcomes of AI.

Featured Students

Colton Barr
School of Computing
Queen's University
Colton is a first-year MD / Ph.D. student studying Computer Science at the Laboratory for Percutaneous Surgery at Queen’s University. His research investigates the applications of ultrasound within neurosurgery, with a particular focus on using artificial intelligence and computer vision.…
Meara Sanjayan
Translational Medicine
Queen's University
Meara Sanjayan is a first-year MSc student in the Translational Medicine Graduate Program. Previously, she completed her Bachelor of Health Sciences at Queen’s. For her master’s research, co-supervised by Dr. Karen Yeates and Dr. Amber Simpson, she is investigating how…
Rina Khan
School of Computing
Queen's University
Rina Khan is originally from Dhaka, Bangladesh. She completed her Bachelor's in Electronic Engineering from Multimedia University in Malaysia. She then proceeded to complete her Master's in Computing at Queen's University, where she is now pursuing her PhD in Computing.…
Jack Peterson
School of Computing
Queen's University
Jack is a master's student in the Queen's School of Computing under the supervision of Randy Ellis. He holds a Bachelor of Computing Honours with a specialization in fundamental computation degree from Queen's University. Jack is currently researching dimensionality reduction…

University Partners

Western University